─研究ノート─
Scientific Note
Monitoring of the Greenland ice sheet using a broadband seismometer network: the GLISN project
Genti Toyokuni
1 *, Masaki Kanao
2, 3, Yoko Tono
4, Tetsuto Himeno
5, Seiji Tsuboi
4, Dean Childs
6, Kent Anderson
7 and Hiroshi Takenaka
8
広帯域地震観測網(GLISN)によるグリーンランド氷床モニタリング
豊国源知
1 *・金尾政紀
2, 3・東野陽子
4・姫野哲人
5・坪井誠司
4・
Dean Childs
6・Kent Anderson
7・竹中博士
8
(Received May 2, 2013; Accepted September 19, 2013)
要旨: グリーンランド氷床は地球規模の気候変動に伴って融解が進行してい
る.近年,氷床融解の過程で末端部の氷河が移動する際に,「氷河地震」と呼ばれ
る地震動が発生することが知られるようになり,地震観測による氷床モニタリン
グに関心が集まっている.2009年に発足した「グリーンランド氷床の地震モニタ
リング観測網(GLISN)」は,氷床モニタリングを目的として国際共同でグリーン
ランドや周辺の島々に広帯域地震計を展開するプロジェクトである.日本は
GLISN
発足時からの参加国として,2011年から観測隊を派遣しており,米国と共
同で氷床上に観測点
1
点を新設したほか,他の観測点のメンテナンスにも従事し
ている.これらの観測点から得られた長周期地震波形データは,全球地震波伝播
モデリングによる理論波形との比較でチェックを行い,設置場所によるノイズの
影響が少ない,良質なデータであることを確認した.
1 東北大学大学院理学研究科地震・噴火予知研究観測センター.Research Center for Prediction of Earth-
quakes and Volcanic Eruptions (RCPEVE), Graduate School of Science, Tohoku University, 6–6 Aza-Aoba, Aramaki, Aoba-ku, Sendai 980-8578.
2 情報 ・ システム研究機構国立極地研究所.National Institute of Polar Research, Research Organization of
Information and Systems, Midoricho 10–3, Tachikawa, Tokyo 190-8518.
3 総合研究大学院大学複合科学研究科極域科学専攻.
Department of Polar Science, School of Multidisciplinary Sciences, The Graduate University for Advanced Studies (SOKENDAI), Midoricho 10–3, Tachikawa, Tokyo 190-8518.
4 海洋研究開発機構.Japan Agency for Marine-Earth Science and Technology (JAMSTEC), 3173–25 Showa-
machi, Kanazawa-ku, Yokohama 236-0001.
5 成蹊大学理工学部情報科学科.Department of Computer and Information Science, Seikei University, 3–3–1
Kichijoji-Kitamachi, Musashino, Tokyo 180-8633.
6
IRIS PASSCAL Instrument Center, New Mexico Tech 100 East Road, Socorro, New Mexico 87801.
7
Incorporated Research Institutions for Seismology (IRIS), 1200 New York Ave., NW, Suite 400, Washington, D.C. 20005.
8 岡山大学大学院自然科学研究科地球生命物質科学専攻.Division of Earth, Life, and Molecular Sciences,
Graduate School of Natural Science and Technology, Okayama University, 3–1–1 Tsushima-naka, Kita-ku, Okayama 700-8530.
*
南極資料,Vol. 58,No. 1,1-18,2014
Nankyoku Shiryo
^
(Antarctic Record), Vol. 58, No. 1, 1-18, 2014
Ⓒ 2014 National Institute of Polar Research
Abstract: Global climate change is currently causing melting of the Greenland ice
sheet. Recently, a new type of seismic event, referred to as a "glacial earthquake", has been recognized. Such earthquakes are generated by the movements of large masses of ice within the terminal regions of glacier, and represent a new approach for monitoring ice sheet dynamics. In 2009, the multinational GreenLand Ice Sheet monitoring Network (GLISN), a large broadband seismological network in and around Greenland, was initiated to monitor these events. Japan, a partner country of the GLISN project, has been sending a field team to Greenland each year since 2011, when a joint USA and Japanese team first established a dual seismic-GPS station (station code: ICESG-GLS2) on the Greenland ice sheet. In 2012, the same team contributed to the maintenance of ICESG-GLS2, as well as two other stations (NUUK and DY2G-GLS1). The quality of the long-period seismic waveform data obtained by these stations has been checked by comparing the data with global synthetic seismograms. Results indicate that the data from the three stations have not been substantially affected by noise, and that the quality is well controlled.
1. Introduction
The Greenland ice sheet, which covers 80 % of Greenland, is the largest ice body in the Northern Hemisphere. The ice thickness of the ice sheet averages approximately 2 km, and it exceeds 3 km at its thickest point. The dynamics of the ice sheet are such that it influences, and is influenced by, global changes in climate. For example, melting of the entire 2850000 km
3 volume of ice would raise global sea level by 7.2 m (Houghton et al., 2001). Therefore, careful monitoring of the Greenland ice sheet will provide important indicators of global climate shifts. Although cryospheric monitoring in Greenland has been conducted using various types of observations, including satellite remote sensing, global positioning systems (GPS), and glaciological and meteorological measurements, the dynamic processes of the ice sheet and outlet glaciers are complex and poorly understood.
To investigate and predict the dynamics of the Greenland ice sheet, we contribute a seismic dataset as another fundamentally independent barometer. Rapid climate change over the last decade has increased the need for improved seismic network coverage, increased reliability of locating ice-driven seismic events, and insights into their mechanisms.
The number of seismic events related to glacial movement and ice sheet dynamics has increased in Greenland in recent years; these events include ice quakes, glacial earthquakes, calving events, and glacial rumblings. Glacial earthquakes are representative of such cryo- seismic phenomena; they occur mainly at the edge of the ice sheet, their surface-wave magnitudes are approximately 5, and they are characterized by an absence of high- frequency signals, as compared with standard tectonic earthquakes with similar magnitudes.
Ekström et al. (2003) discovered this new class of earthquakes and suggested that these events could be excited by large and sudden sliding motions of glaciers, as the radiation patterns show a better fit with landslide mechanisms than with standard faulting mechanisms. Ekström et al. (2006) further detected strong seasonality in the patterns of Greenland glacial earthquakes, with fewer events during the winter. Consequently, they proposed that such events are induced by summer surface melting followed by transport of meltwater to the base of the glacier. The frequency of glacial earthquake events on the Greenland ice sheet has doubled over the past 5 years, which is considered to be a dynamic response of the ice sheet to recent climate change.
In addition to an increase in frequency of glacial earthquakes, it has been suggested
draft of this paper. The Japanese GLISN team has been supported by JSPS KAKENHI 24403006.
References
Childs, D. (2012): Greenland Ice Sheet Monitoring Network (GLISN) 2012 annual field report. Washington, D.C., Incorporated Research Institutions for Seismology, 49 p.
CH2M HILL Polar Services (2013): Greenland Guide 2013. Littleton, CO, CH2M HILL Polar Services, 23 p.
(online), http://www.polar.ch2m.com/Files/PDFs/GreenlandGuide2012.pdf.
Dahl-Jensen, T., Larsen, T.B., Voss, P.H. and the GLISN group (2010): Greenland ice sheet monitoring network (GLISN): a seismological approach. Geol. Surv. Den. Greenl., 20, 55⊖58.
Dziewonski, A.M. and Anderson, D.L. (1981): Preliminary reference Earth model. Phys. Earth Planet In., 25 , 297⊖
356, doi: 10.1016/0031⊖9201(81)90046⊖7.
Ekström, G., Nettles, M. and Abers, G.A. (2003): Glacial earthquakes. Science, 302, 622⊖624, doi: 10.1126/
science.1088057.
Ekström, G., Nettles, M. and Tsai, V.C. (2006): Seasonality and increasing frequency of Greenland glacial earthquakes. Science, 311, 1756⊖1758, doi: 10.1126/science.1122112.
Houghton, J.T., Ding, Y., Griggs, D.J., Noguer, M., van der Linden, P.J., Dai, X., Maskell, K. and Johnson, C.A.
(2001): Climate Change 2001: the Scientific Basis. Cambridge ; New York, Cambridge University Press, x, 881 p.
Igel, H. and Weber, M. (1995): SH-wave propagation in the whole mantle using high-order finite differences.
Geophys. Res. Lett., 22, 731⊖734, doi: 10.1029/95GL00312.
Igel, H. and Weber, M. (1996): P-SV wave propagation in the Earth's mantle using finite differences: Application to heterogeneous lowermost mantle structure. Geophys. Res. Lett., 23, 415⊖418, doi: 10.1029/96GL00422.
Toyokuni, G. and Takenaka, H. (2006): FDM computation of seismic wavefield for an axisymmetric earth with a moment tensor point source. Earth Planets Space, 58, e29⊖e32.
Toyokuni, G. and Takenaka, H. (2009): ACE─ A FORTRAN subroutine for analytical computation of effective grid parameters for finite-difference seismic waveform modeling with standard Earth models. Comput.
Geosci., 35, 635⊖643, doi: 10.1016/j.cageo.2008.05.005.
Toyokuni, G. and Takenaka, H. (2012): Accurate and efficient modeling of global seismic wave propagation for an attenuative Earth model including the center. Phys. Earth Planet In., 200 201, 45⊖55, doi: 10.1016/j.
pepi.2012.03.010.
Toyokuni, G., Takenaka, H., Wang, Y. and Kennett, B.L.N. (2005): Quasi-spherical approach for seismic wave modeling in a 2-D slice of a global Earth model with lateral heterogeneity. Geophys. Res. Lett., 32, L09305, doi: 10.1029/2004GL022180.
Toyokuni, G., Takenaka, H. and Kanao, M. (2012a): Quasi-axisymmetric finite-difference method for realistic modeling of regional and global seismic wavefield─review and application
─. Seismic Waves: Research and
Analysis, ed. by Kanao, M. Rijeka, InTech, 85⊖112, doi: 10.5772/32422.
Toyokuni, G., Takenaka, H., Kanao, M., Wiens, D.A. and Nyblade, A. (2012b): Comparison of global synthetic seismograms calculated using the spherical 2.5-D finite-difference method with observed long-period waveforms including data from the intra-Antarctic region. Polar Sci., 6, 155⊖164, doi: 10.1016/j.
polar.2012.06.001.
Walsh, M.R. and Ueda, H.T. (1998): Structural analysis of DEW line station DYE-2, Greenland: 1983⊖1988.
Hanover, U.S. Army Cold Regions Research & Engineering Laboratory, 23 p. (CRREL report, 98 (3)).